Quantitative Evaluation Method for Industrial Control System Vulnerability Based on Improved Expert Elicitation and Fuzzy Set Method-Reference-Cited by-同舟云学术

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Quantitative Evaluation Method for Industrial Control System Vulnerability Based on Improved Expert Elicitation and Fuzzy Set Method

Published:2023 Issue: Volume:11 Page:101007-101019
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Shang Wenli¹^ORCID,Gong Tianyu²,Hou Jing³,Lu Jiayue¹^ORCID,Cao Zhong¹^ORCID

Affiliation:

1. School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, China

2. China Industrial Control Systems Cyber Emergency Response Team, Beijing, China

3. Information and Control Engineering Faculty, Shenyang Jianzhu University, Shenyang, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Basic and Applied Basic Research Funding of Guangdong Province

Guangzhou Science and Technology Funding

Open Fund Project of Information Security Assessment Center of Civil Aviation University of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10247522.pdf?arnumber=10247522

Reference51 articles.

1. Using graph theory to analyze the vulnerability of process plants in the context of cascading effects

2. Cybersecurity in industrial control systems: Issues, technologies, and challenges

3. Secure Control Systems: A Quantitative Risk Management Approach

4. Multimodel-Based Incident Prediction and Risk Assessment in Dynamic Cybersecurity Protection for Industrial Control Systems

5. Research challenges for the security of control systems;cárdenas;Proc 3rd USENIX Workshop Hot Topics Secur,2008

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